From Pattern Recognition to Place Identification
نویسندگان
چکیده
What are the ingredients required for vision-based place recognition? Pattern recognition models for localization must fulfill invariance requirements different from those of object recognition. We propose a method to evaluate the suitability of existing image processing techniques by testing their outputs against these invariances. The method is applied to several holistic and one local model. We generalize our findings and identify model properties of locality, spatial configuration and generalization as key factors for applicability to localization tasks.
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